New Appointment at Chemnitz University of Technology
On February 15, 2026, a new professor was appointed at Chemnitz University of Technology – Dr. Konstantin Hopf will head the Chair of Information Systems and Business Analytics
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Dr. Konstantin Hopf (right) received his letter of appointment from Prof. Dr. Maximilian Eibl, Vice-Rector for Vice President for Academic and International Affairs at Chemnitz University of Technology. Photo: Jacob Müller Photo: Jacob Müller
Dr. Konstantin Hopf has been appointed Full Professor of Information Systems and Business Analytics at Chemnitz University of Technology as of 15 February 2026. He received his letter of appointment from the Vice President for Academic and International Affairs, Prof. Dr. Maximilian Eibl. The professorship is located at the Faculty of Economics and Business Administration.
Academic Career
Konstantin Hopf studied Information Systems at the University of Bamberg, where he also conducted research at the Bits-to-Energy Lab. His research focused on the application of machine learning methods to energy-related data in industry-oriented projects. He additionally gained international experience during a research stay at Copenhagen Business School.
In 2019, he completed his doctorate at the University of Bamberg with a dissertation entitled “Predictive Analytics for Energy Efficiency and Energy Retailing.” He subsequently worked as a Senior Researcher and Lecturer at the Chair of Information Systems and Energy-Efficient Systems (Prof. Thorsten Staake). As part of his habilitation, he established the research group “Machine Learning & Data Work in Organizations.” During this period, he was also a lecturer at Friedrich-Alexander-Universität Erlangen-Nürnberg and Leipzig University.
Since October 2025, Dr. Hopf has been acting professor of the Chair of Information Systems and Business Analytics at Chemnitz University of Technology.
Research and Teaching
Dr. Hopf’s research focuses on the integration of explainable machine learning methods into enterprise information systems for decision support. His work addresses both methodological challenges in Business Analytics and theoretical questions concerning the transformation of socio-technical systems through artificial intelligence (AI). His research is supported by numerous third-party funded projects with national and international partners from academia and industry. He regularly publishes in leading international journals in Information Systems and management science and presents his findings at major international conferences.
At Chemnitz University of Technology, he aims to further strengthen practice-oriented and explainable Business Analytics and to expand the application of AI-based decision support systems in critical energy infrastructures and in digital higher education. In addition, he plans to pursue strategic and organizational research on the use of Business Analytics and AI in companies.
In teaching, he contributes to the Bachelor’s and Master’s degree programs in Information Systems as well as to the Master’s degree programs in Business Intelligence & Analytics and Value Chain Management. He also offers complementary courses, including courses taught in English.
(Translation: Dr. Konstantin Hopf)
Mario Steinebach
09.02.2026
